Towards Involving End-users in Interactive Human-in-the-loop AI Fairness

Towards Involving End-users in Interactive Human-in-the-loop AI Fairness

22 April 2022

Lorenzo Strappelli

Papers citing "Towards Involving End-users in Interactive Human-in-the-loop AI Fairness"

17 / 17 papers shown

Title
TA3: Testing Against Adversarial Attacks on Machine Learning Models Yuanzhe Jin Min Chen 31 0 0 06 Oct 2024
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist Meric Altug Gemalmaz Ming Yin 24 0 0 04 Oct 2024
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems Yongsu Ahn Quinn K. Wolter Jonilyn Dick Janet Dick Yu-Ru Lin HAI 37 0 0 10 Sep 2024
Noise-Free Explanation for Driving Action Prediction Hongbo Zhu Theodor Wulff R. S. Maharjan Jinpei Han Angelo Cangelosi AAML FAtt 32 0 0 08 Jul 2024
From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction Muhammad Raees Inge Meijerink Ioanna Lykourentzou Vassilis-Javed Khan Konstantinos Papangelis 30 24 0 23 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations Pantea Habibi Peyman Baghershahi Sourav Medya Debaleena Chattopadhyay 35 1 0 11 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
Fair Machine Guidance to Enhance Fair Decision Making in Biased People Mingzhe Yang Hiromi Arai Naomi Yamashita Yukino Baba FaML 34 6 0 08 Apr 2024
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems Yongsu Ahn Yu-Ru Lin CML 32 3 0 29 Dec 2023
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence Stephanie B. Baker Wei Xiang XAI 31 5 0 04 Dec 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 31 10 0 15 Oct 2023
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 34 2 0 07 Sep 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 25 17 0 01 Mar 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 18 4 0 18 Feb 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 49 8 0 10 Feb 2023
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017